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Call For Papers

The ICDMB bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Artificial Intelligence,Data Science,Bioinformatics, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data mining techniques for biological insights
  • Machine learning for gene expression data
  • Data preprocessing methods in bioinformatics
  • Predictive modeling in bioinformatics research
  • Data mining for protein-protein interactions
  • Clustering techniques in bioinformatics studies
  • Data visualization methods for bioinformatics
  • Integration of data mining and bioinformatics
  • Data mining for disease prediction models
  • Machine learning for biological network analysis
  • Data mining in personalized medicine
  • Ethical implications of data mining
  • Data mining for metabolic pathway analysis
  • AI-driven data mining tools for bioinformatics
  • Data mining for genomic variant analysis
  • Real-time data mining in bioinformatics
  • Data mining techniques for omics data
  • Future directions in bioinformatics data mining
  • Collaborative data mining research initiatives
  • Data mining for understanding complex diseases

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.